Brain — Knowledge Management

A CLI for managing a developer second brain with hybrid BM25 + vector search over markdown notes.

When to Use

• User asks "what do I know about X" or "find my notes on Y"
• User wants to save something to their knowledge base
• Before starting work on a topic (context pull)
• After completing research or making a decision (deposit)
• User asks about stale or outdated notes

Commands

All commands are run via brain (ensure it's on PATH or use the full path to the CLI). Use --json flag on all commands when processing output programmatically.

Search

brain search "<query>" [options]
  --json                    JSON output
  --limit <n>               Max results (default 10)
  --min-score <score>       Minimum relevance 0-1 (use 0.4 for broad queries)
  --category <cat>          Filter by project category
  --tier <tier>             slow|fast
  --tags <tags>             Comma-separated tag filter
  --confidence <level>      high|medium|low|speculative
  --since <date>            Notes modified after YYYY-MM-DD
  --expand                  Include graph-connected notes

Add Notes

brain add <file> [options]
  --title <title>               Note title
  --type <type>                 note|decision|pattern|research|meeting|session-log|guide
  --tier <tier>                 slow|fast (default: slow)
  --tags <tags>                 Comma-separated tags
  --summary <text>              One-line summary for search excerpts
  --confidence <level>          high|medium|low|speculative
  --status <status>             current|outdated|deprecated|draft
  --category <cat>              Project category
  --related <ids>               Comma-separated related note IDs
  --review-interval <interval>  e.g. 30d, 60d, 90d, 180d
  --created <date>              YYYY-MM-DD (defaults to today)

Other

Quality Rules

When adding notes:

• ALWAYS include --category, --tags (2-3 minimum), and --summary
• Include --related when the note references existing notes
• Set --confidence to signal how proven the content is
• Set --review-interval by type: decisions=180d, research=90d, patterns=60d, guides=90d

When searching:

• Use --category to scope queries to the relevant project
• Use --min-score 0.4 to filter noise on broad queries
• Use --expand when you need the full context graph around a result

Workflow Patterns

Context pull — before planning or brainstorming:

brain search "topic" --category mobile --min-score 0.4 --expand --json

Research deposit — after completing research:

brain add research.md --title "Finding title" --type research \
  --category voltra-sdk --tags "ble,protocol" --confidence medium \
  --summary "One-line finding" --review-interval 90d

Decision record — after an architectural decision:

brain add decision.md --title "Use X over Y" --type decision \
  --category mobile --tags "architecture,state" --confidence high \
  --summary "Chose X because..." --review-interval 180d --related existing-note-id

Rules

• Always use --json when you need to parse output
• Search before claiming information isn't in the knowledge base
• Do NOT run brain index unless the user explicitly asks — it processes all files and is slow
• Present search results with score, file path, and excerpt